Thinking out loud.
On AI adoption, operations, and what actually changes when the setup is right. Written by Chase Bernier.
“Most owners don’t have an AI problem. They have an onboarding problem.”
From the articleThe Playbook Every Owner Should Try Before Hiring Someone Like Me
You would not tell a new hire “just figure it out” and expect results. You would onboard them. Most owners skip this step with AI entirely. The moves to push your chat-box use further than you thought possible, and the structural shift when chat stops being the right surface.
Read article →The Real Reason Your Team Can't Agree on AI
Walk into most SMBs and the CEO, marketing lead, IT lead, and top operator are each looking at a different technology when they say "AI." That's the real reason your team can't agree, and what fixes it.
The Four Levels of AI Adoption (And How to Know Where You Are)
A practical map for business owners and operators who want to know what's actually possible with AI right now, and what comes next. Organized by business outcome, not tool sophistication.
Mythos Is Already Obsolete
Mythos broke every AI benchmark on record a few days ago. The hardware and algorithm curves underneath it are compounding multiplicatively. By the time Trainium 4 ships in 2027, Mythos will look like GPT-4 does today. Here is the trajectory, in plain terms.
The Model You Can't Use Tells You Everything About Where AI Is Heading
Anthropic built the most capable AI model in history, then locked it down. What the benchmarks, the hardware pipeline, and the open source convergence signal about where AI capability and cost are heading over the next 18 months.
The Part That Compounds Is Not the Model
An executive coach drowning in post-meeting admin got a complete AI workflow built in two weeks using standard-tier tools. No enterprise contract. No six-figure implementation. Here is why the cost of waiting is higher than the cost of starting.
What I Learned Setting Up AI for 5 Very Different Business Owners
Most AI adoption advice assumes people haven't tried yet. The five business owners I just set up had all tried. That was the problem. The gap between "this is useful" and "I use this every day" is almost never about the technology. It's about the setup.
Why AI Doesn't Stick
The subscriptions are live. The team has access. Six months later, usage has dropped back to the people who were already curious. The cost is not the tool fee. It is the momentum you lose waiting for adoption that never comes.
The setup is the missing piece.
Most owners have the tool. The 30-minute call is about whether we can build the system around it.
30 minutes · No preparation needed